We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach is based on constructing an expressive set of common data structures and methods that enable programming of a broad variety of complex hybrid quantum simulation applications. The abstract core of our scheme is distilled from the analysis of the current quantum simulation algorithms. Subsequently, it allows a synthesis of new hybrid algorithms and workflows via the extension, specialization, and dynamic customization of the abstract core classes defined by our design. We implement our design scheme using the hardware-agnostic programming language QCOR into the QuaSiMo library. To validate our implementation, we test and show its utility on commercial quantum processors from IBM and Rigetti, running some prototypical quantum simulations.
@article{arxiv.2105.07993,
title = {QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation},
author = {Thien Nguyen and Lindsay Bassman and Phillip C. Lotshaw and Dmitry Lyakh and Alexander McCaskey and Vicente Leyton-Ortega and Raphael Pooser and Wael Elwasif and Travis S. Humble and Wibe A. de Jong},
journal= {arXiv preprint arXiv:2105.07993},
year = {2021}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2101.08151